Tag: Amazon S3

Featurization is one of the most difficult problems in machine learning. Learn how graph features engineered in Neo4j can be used in a supervised learning model trained with Amazon SageMaker. These novel graph features can improve model performance beyond what’s possible with more traditional approaches. Together, these components offer a graph platform that can be used to understand graph data and operationalize graph use cases.

Digital food ordering is one of the most rapidly growing global industries today. Cognizant’s OrderServ 2.0 platform is an omni-channel digital ordering platform designed for the restaurant and food services industries. It has built-in connectors for seamless integration with restaurant point-of-sale (POS) systems, master data management, payments services, loyalty programs, and other business applications. OrderServ 2.0 is offered as a SaaS platform hosted on AWS.

A digital journey is of strategic importance for many organizations, and digital transformation enabled by cloud technologies has increased efficiency and raised productivity with improved stakeholder experiences. To achieve these outcomes, transformation initiatives need to be holistic, interlinked, and inclusive. Learn how to supercharge customer experiences and make your contact center future-ready by leveraging HCLTech’s Fluid Contact Center Intelligence (Fluid CCI) and AWS AI/ML services.

This post explores an asynchronous pattern for ingesting data from legacy systems, collecting it into projections, and aggregating it into single views. The purpose of this solution is to decouple the source systems where data is stored from the external channels that request data—ensuring both offloading of source systems and making data available to channels 24/7 and in near real-time. The proposed solution is a simplification of the high-end architecture of Mia-Platform Fast Data.

Provectus, an AWS Premier Tier Services Partner with the Data and Analytics Competency, helps clients resolve issues of their legacy, on-premises data platforms by implementing best practices for the migration and optimization of Amazon EMR workloads. This post examines the challenges organizations face along the path to a successful migration, and explores best practices for re-architecting and migrating on-premises data platforms to AWS

While utilities have historically been rich with data from customers, programs, and assets, many organizations often manage data in siloes. Source data can also be disorganized, with deficiencies in defined quality assurance and quality control processes. Learn how utilities are successfully embracing Accenture’s data-led transformation (DLT) and leveraging accelerators powered by AWS to reach their business objectives and meet regulatory obligations.

Containers are widely used in the development of cloud-native applications based on a microservices architecture. These applications are designed to be scalable, highly available, and resilient to failure. Learn about common use cases of containers which can be implemented by leveraging AWS services and how AWS Premier Tier Services Partner Infosys offers integrated consulting and technology solutions that leverage of the flexibility and economics of cloud where IT and business services are delivered on demand.

In line with Capgemini Group‘s sustainability vision to become a net zero business by 2040, Sogeti has collaborated with AWS to find a pragmatic solution that is helping to bring this vision to life—the Sogeti Carbon Estimator (SCE). This tool can be used to automatically bring insights into the carbon footprint of any cloud component used to serve technology, including complex AI solutions enabled by MLOps. SCE highlights the goal of many cloud providers and businesses—to unlock the value of cloud sustainably.

Large enterprise customers depend heavily on commercial off the shelf (COTS) products for scheduling jobs or running batch jobs, but these COTS products are often not cloud-native which prevents them from taking advantage of the various cloud services. Learn how Resolution Life US collaborated with Cognizant and AWS to modernize its on-premises third-party enterprise job scheduler with an event-driven custom scheduler solution using Amazon FSx, AWS Step Functions, Amazon EventBridge, and AWS Lambda.

Many AWS customers want an easy way to deploy, configure, manage, and upgrade mobile private networks that scale easily based on demand. Learn how to take advantage of Athonet’s fully automated 4G/5G professional-grade solutions on AWS to accelerate business outcomes. By combining the cloud-native capabilities of Athonet Core network functions with AWS services, you can demonstrate the deployment of Athonet Core on AWS in a matter of minutes.